Measure and then plan and then build routines
1 · Measure
Model Research IQ reads your brand and four competitors in AI answers first and then organic search and then social and landscape search and then paid media. Every figure is dated and counted outside the AI. The tool →
2 · Plan
We read the measurement against three things. What the business needs from search. How the brand is described and whether it is accurate. Which pages earn the citations and how well governed they are. The gaps become the plan and the plan names the routines. The plan is a list of pages and facts to fix in order and every change is measured on the next reading so that you know what moved the answer. The services →
3 · Build routines
Website routines only. Each runs every week without us and a person signs off before anything changes. A routine is its written instructions in plain English and your team owns the file and can change it.
- 1Fact checker. Tests every claim an AI model makes about your business against your own approved facts. When a model gets a fact wrong this routine traces the error to the exact source page so you can fix it. Built to order.
- 2AI answer monitor. Runs your fixed question set across ChatGPT and Gemini and Claude and Perplexity on your schedule. It flags any shifted answers and files a dated record so you never have to guess what changed. Runs on the platform today.
- 3Citation watch. Tracks exactly which URLs the models cite to answer questions in your category. It shows whether your pages are earning the credit or whether a competitor is doing the work. Built to order.
- 4Organic ranking alert. Monitors traditional search rank movements against your core competitors on the exact same question set used for AI. One brief fixes both. Built to order.
- 5Content governance auditor. AI cites well governed content. This routine continually reads your pages for the exact trust signals models demand: author credentials and recent dates and explicit sources and structured data. Built to order.
Governance
AI models are learning to protect their answers from error. They lean on sources that show who wrote them and when and on what evidence. We believe that shift will grow and that it changes what a brand's website is for.
Governed content shows the person who wrote each page and what qualifies them. It shows when it was last checked and what it draws on. It names who endorses it and what their stake is. It keeps one version of each fact across the site. And it says all of that in structured data so a machine reads it as a person would. The content governance auditor reads your pages against these and keeps it so.